Open AccessDistributed aperiodic model predictive control for multi‐agent systems
Author(s) -
Hashimoto Kazumune,
Adachi Shuichi,
Dimarogonas Dimos V.
Publication year - 2015
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2014.0368
Subject(s) - aperiodic graph , control theory (sociology) , model predictive control , computer science , bounded function , reduction (mathematics) , control (management) , multi agent system , distributed computing , mathematical optimization , mathematics , artificial intelligence , combinatorics , mathematical analysis , geometry
In this study, the authors propose an aperiodic formulation of model predictive control for distributed agents with additive bounded disturbances. In the proposed method, each agent solves an optimal control problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over usage of communication resources. The triggering rules are derived for both event‐triggered and self‐triggered formulation. The authors proposed method is also verified through a simulation example.